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» Context-sensitive ranking for document retrieval
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INTERACT
2003
13 years 11 months ago
A Granular Approach to Web Search Result Presentation
: In this paper we propose and evaluate interfaces for presenting the results of web searches. Sentences, taken from the top retrieved documents, are used as fine-grained represent...
Ryen W. White
ECIR
2009
Springer
14 years 6 months ago
Joint Ranking for Multilingual Web Search
Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s langu...
Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
BMCBI
2006
69views more  BMCBI 2006»
13 years 9 months ago
Retrieval with gene queries
Background: Accuracy of document retrieval from MEDLINE for gene queries is crucially important for many applications in bioinformatics. We explore five information retrieval-base...
Aditya Kumar Sehgal, Padmini Srinivasan
IR
2010
13 years 8 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
CIKM
2008
Springer
13 years 11 months ago
CE2: towards a large scale hybrid search engine with integrated ranking support
The Web contains a large amount of documents and increasingly, also semantic data in the form of RDF triples. Many of these triples are annotations that are associated with docume...
Haofen Wang, Thanh Tran, Chang Liu